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Jun 6, 2024 · The persistence of voltage-switchable collective electronic phenomena down to the atomic scale has extensive implications for area-efficient and energy-efficient electronics, especially in emerging nonvolatile memory technology. We investigate the performance of a ferroelectric field-effect transistor (FeFET) based on sliding ferroelectricity in bilayer boron nitride at room temperature ...
May 31, 2024 · Precipitates are crucial for crafting mechanically strong metallic materials. In this work, we report the dislocation cutting of B2 (ordered body-centered cubic) nanoprecipitates, typically considered nonshearable intermetallics, in a lightweight compositionally complex steel during cryogenic tensile loading. Shearing is enabled by the high strength level for dislocation glide within the ...
Jun 1, 2024 · Radiochemical separation of 7Be from the cooling water of the neutron spallation source SINQ at PSI. D. Schumann M. Ayranov. +4 authors. D. Schuermann. Environmental Science, Physics. 2013. Summary 7Be is a key radionuclide for investigation of several astrophysical processes and phenomena. In addition, it is used as a tracer in wear measurements.
Jun 1, 2024 · An analysis of retractions in neurosurgery and allied clinical and basic science specialties. The characteristics of retracted papers from clinical neurosurgery and allied clinical and basic science specialties and the most common reasons for retraction were plagiarism, duplication, and compromised peer review are reported.
May 31, 2024 · TLDR. A new machine learning technique for quantifying the structure of responses to single-pulse intracranial electrical brain stimulation, which dramatically simplifies the study of CCEP shapes, and may also be applied in a wide range of other settings involving event-triggered data. Expand. 3.
Jun 4, 2024 · Spatial transcriptomics (ST) emerges as a cutting-edge technology in tumor research that preserves the spatial information of RNA transcripts, thereby facilitating a deeper understanding of the tumor heterogeneity, the intricate interplay between tumor cells and the tumor microenvironment. This review systematically introduces ST technologies ...
Jun 1, 2024 · A novel hybrid deep learning model, RoBERTa-BiLSTM, which combines the Robustly Optimized BERT Pretraining Approach (RoBERTa) with Bidirectional Long Short-Term Memory (BiLSTM) networks is introduced, which leverages the strengths of both sequential and Transformer models to enhance performance in sentiment analysis. Expand. [PDF] Semantic Reader.
